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I love building things
87% of digital workers now use AI at work. 75% say it makes them more productive, but some of the gains are being swallowed by a new, largely invisible AI tax, e.g. Botsitting. Botsitting is the work required to make AI usable, including feeding it missing context, checking its outputs, debugging its mistakes, rerunning prompts, and cleaning up the confident-but-wrong answers AI leaves behind.
Read: Botsitting: The Hidden Cost of AI ProductivityAs AI compresses the effort required to write code, the non-coding portions of software development consume a larger percentage of total effort. And those are precisely the activities that offshore models have traditionally struggled with. I believe the future belongs to smaller teams, closer to the business, amplified by AI.
Read: It's Time to Rethink the Offshore Development ModelWho takes accountability when AI systems fail? A model can deny a loan. A model can misprice risk, yet a model cannot be sanctioned in a way a human or company can. You can fine a corporation, but only a human can apologize. Only a corporation or human can face legal consequences.
Read: AI Meat ShieldsLike everyone, I'm very curious to see how AI is going to impact individual jobs as well as overall organizational models. I believe the more impactful change will be on the organizational side and Block is leading the thinking in this space.
Read: Inside Block’s AI-Native OrganizationDo you remember when you first saw the movie The Matrix, and Neo learns Kung Fu, or Trinity learns to fly a helicopter just by uploading a new skill? If your software engineers are LLMs then welcome to Vercel's skills.sh
Read: Vercel Skills.shWhether you’re prompting a large language model or asking a colleague for help, the quality of the context you provide is often the difference between getting what you want, or not. In other words, context engineering isn’t just for LLMs. It’s unreasonably effective with humans too.
Read: Context Engineering for HumansThe importance of a differentiated data model is rising dramatically. AI is commoditizing code. Technical execution is table stakes rather than a competitive advantage. Your product's core data abstractions determine whether new features compound into a moat or just add to a feature list. Here's how to get it right.
Read: Your Data Model is Your DestinyYou've reached the end!
